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Weight based Approach using Rossmo’s Equation for Criminal Policing

Simran Syal, Mandeep Singh Tinna. Published in Artificial Intelligence.

Communications on Applied Electronics
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Simran Syal, Mandeep Singh Tinna
10.5120/cae2015651802

Simran Syal and Mandeep Singh Tinna. Article: Weight based Approach using Rossmo’s Equation for Criminal Policing. Communications on Applied Electronics 2(7):17-21, August 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Simran Syal and Mandeep Singh Tinna},
	title = {Article: Weight based Approach using Rossmo’s Equation for Criminal Policing},
	journal = {Communications on Applied Electronics},
	year = {2015},
	volume = {2},
	number = {7},
	pages = {17-21},
	month = {August},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

This paper discusses the approach of criminal policing by using Rossmo’s equation and proposing weight based approach wherein nine types of crimes are put into four clusters and using raw data collected from online sources, weight is calculated based on the number of previous crimes committed. The result is put to use for analytics using rapid miner tool and graph is generated as the final result. Yorkshire ripper case is used as the experimental result to prove the convict taking some of his previous committed crime as data input along with other criminals in the area committing different crimes. The end result generated proves the algorithm discussed in the paper.

References

  1. D. Kim Rossmo, “Place, Space and Police Investigations: Hunting Serial Violent Criminals.
  2. Xifan Zheng, Yang Cao, Zhiyu Ma, “A Mathematical Modeling Approach for Geographical Profiling and Crime Prediction”, 978-1-4244-9698-3/11/$26.00, 2011 IEEE.
  3. A. Malathi, Dr. S. Santhosh Baboo, “Algorithmic Crime Prediction Model Based on the Analusis of Crime Clusters”, Issue 11., vol. 11. Global Journal Of Computer Science and Technology.
  4. Naichang Chen, Wei Shi, Dawei Song, “Prediction of Series Criminals: Approach based on Modeling”, IEEE 2010 International Conference on Computatuinal and Information Sciences.
  5. Devlin, Keith J., Gary Lorden, “The Numbers behind NUMBERS: Solving Crime with Mathematics,” New York, NY: Plume published by Penguin, 2007 print.
  6. Rossmo, D. Kim. Geographic Profiling. Boca Raton, FL:CRC, 2000. Print. Spatial Aspects of Crime Theory and Practice. Pearson Custom Pub, 2005 Print.
  7. Putwain, David and Aidan Sammons. Psychology and Crime. East Sussex: Routledge, 2002. Print.
  8. Mohammad A. Tayebi, Martin Ester, Uwe Glasser, Patricia L. Brantingham, “Crimetracer: Activity Space Based Crime Location Precdiction”, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014).
  9. Zhu Shiyao, “ A research on dealing with serial crimes with mathematical method”, IEEE 2011 978-1-14244-9698-2.
  10. Beth Pearsall, “Predictive Policing: The Future of Law Enforcement?” NIJ Journal, No. 266.
  11. Chung-Hsien Yu, Max W. Ward, Melissa Morabito, Wei Ding, “Crime Forecasting using Data Mining Techniques”, 11th IEEE International Conference on Data Mining Workshops.

Keywords

Rossmo’s equation, Cluster, Rapid miner tool, Probabiltiy, Policing.